Visar resultat 1 - 5 av 30 uppsatser innehållade ordet Aggregating.
1. Visualization of Test Failure Data to Support Fault Localisation in Distributed Embedded Systems within the Automotive IndustryKandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik
Sammanfattning : In this thesis we present the design, developmentand evaluation of a software tool with the purpose of assisting inthe localisation of root causes of test case failures in distributedembedded systems, specifically vehicle systems controlled by anetwork of electronic control units (ECUs). Fault localisation isespecially hard in such systems due to its distributed nature, andoften organisations rely on the knowledge of in-house specialistsfor detecting and rectifying the underlying root cause of testcase failures. LÄS MER
- Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)
Sammanfattning : Providers of online services have witnessed a rapid growth of their user base in the last few years. The phenomenon has attracted an increasing number of competitors determined on obtaining their own share of the market. LÄS MER
- Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC); KTH/Skolan för datavetenskap och kommunikation (CSC)
Sammanfattning : Programmatically deriving sentiment has been the topic of many a thesis: it’s application in analyzing 140 character sentences, to that of 400-word Hemingway sentences; the methods ranging from naive rule based checks, to deeply layered neural networks. Unsurprisingly, sentiment analysis has been used to gain useful insight across industries, most notably in digital marketing and financial analysis. LÄS MER
- H-uppsats, Chalmers tekniska högskola/Institutionen för energi och miljö
Sammanfattning : The electricity system is facing extensive challenges in the coming years transitioningtowards a low-carbon economy by 2050. Understanding the characteristics ofthis transition can play a key part in facilitating its implementation. LÄS MER
5. Evaluation of the use of a Dynamic versus a Simple Correction Model to correct for systematic errors in Swedish Precipitation DataMaster-uppsats, Stockholms universitet/Institutionen för naturgeografi
Sammanfattning : A Dynamic Correction Model (DCM) was implemented to correct daily precipitation data from the network of precipitation gauges hosted by the Swedish Meteorological and Hydrological Institute (SMHI). The goal was to determine whether the DCM could be used to improve estimates of the influence of systematic errors on precipitation observations compared to a previous assessment made on the SMHI dataset using a Simple Correction Model (SCM). LÄS MER
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